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Record W4402147309

Comparative Efficacy of Deep Brain Stimulation to the Globus Pallidus Internus Versus the Subthalamic Nucleus in Parkinson's Disease.

2024· article· en· W4402147309 on OpenAlexaboutno aff
Mingming Su, Qu Lihong, Xin Wang, Bao Wang, Nan Li, Xuelian Wang

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsSubthalamic nucleusDeep brain stimulationParkinson's diseaseStimulationMedicineNeurosciencePsychologyGlobus pallidusPhysical medicine and rehabilitationDiseaseBasal gangliaInternal medicineCentral nervous system
DOInot available

Abstract

fetched live from OpenAlex

Background: In recent years, the incidence of Parkinson's disease has gradually increased, and the application of dopamine drugs has been limited, so there is an urgent need to explore a more effective treatment method to treat Parkinson's disease effectively treated. Subthalamic nucleus-deep brain stimulation and globus pallidus internus-deep brain Subthalamic nucleus-deep brain stimulation and globus pallidus internus-deep brain stimulation are the two treatments for Parkinson's disease. However, there is no clear conclusion as to which of these two methods is more effective. Primary Study Objective: To compare the effects of deep brain stimulation in the globus pallidus internus and deep brain stimulation in the subthalamic nucleus combined with drugs for Parkinson's disease, respectively. Methods: In order to compare the motor function, neurological function, and activities of daily living scores, the incidence of fluctuations in isokinetic and motor symptoms, changes in medication doses, and the incidence of complications between the two groups, 52 patients treated with globus pallidus internus-deep brain stimulation and 52 patients treated with subthalamic nucleus-deep brain stimulation were included. Primary Outcome Measures: Using the Motor Function Examination scale of the Unified Parkinson's Disease Rating Scale, patients' motor function was evaluated prior to surgery, one month after surgery, three months after surgery, and six months following surgery. The Montreal Cognitive Assessment, the Mini-mental State Examination, and the Activity of Daily Living scale were used to evaluate patients' cognitive function before and three months after surgery. The patient's dose of medication and complications were also counted, among other things. Results: The Unified Parkinson's Disease Rating Scale-Ⅲ scores decreased, and the Montreal Cognitive Assessment, Mini-mental State Examination, and Activity of Daily Living scales increased in both groups after surgery, with no difference between the two groups (P > .05). Between the two groups, there was no difference in the frequency of allodynia and motor symptom variations (P > .05). Postoperatively, the Group globus pallidus internus experienced lower medication doses and a reduced incidence of complications than the Group subthalamic nucleus (P < .05). Conclusion: The effects of GPi-DBS and STN-DBS in treating PD are both more significant and there is no difference between them, but GPi-DBS reduces complications and medication dose, and has a higher safety profile, indicating that GPi-DBS is more suitable for clinical application and promotion. Future studies need to further explore the mechanism behind the reduction of complications and medication dose of GPi-DBS in Parkinson's disease, in order to provide better support for the clinical application of GPi-DBS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.301
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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